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Showing results 1 to 15 of 15

Issue DateTitle / Author(s) / CitationFileAltmetrics
2016
Tuning the thickness of black phosphorus <i>via</i> ion bombardment-free plasma etching for device performance improvement

Lee, Geonyeop; Lee, Jong-Young; Lee, Gwan-Hyoung; Kim, Jihyun

Journal of Materials Chemistry C, Vol.4 No.26, pp.6234-6239

DOI
2016-10
In situ thickness control of black phosphorus field-effect transistors via ozone treatment

Kim, Suhyun; Jung, Younghun; Lee, Jong-Young; Lee, Gwan-Hyoung; Kim, Jihyun

Nano Research, Vol.9 No.10, pp.3056-3065

DOI
2017-05
Thickness-dependent Schottky barrier height of MoS2 field-effect transistors
DOI
2017-06
Recovery of the Pristine Surface of Black Phosphorus by Water Rinsing and Its Device Application

Kim, Suhyun; Lee, Jong-Young; Lee, Chul-Ho; Lee, Gwan-Hyoung; Kim, Jihyun

ACS Applied Materials & Interfaces, Vol.9 No.25, pp.21382-21389

DOI
2018-09
Atomically precise graphene etch stops for three dimensional integrated systems from two dimensional material heterostructures
DOI
2018-12
Ethanol-CVD Growth of Sub-mm Single-Crystal Graphene on Flat Cu Surfaces
DOI
2019-03
Electrically Conducting and Mechanically Strong Graphene-Polylactic Acid Composites for 3D Printing
DOI
2019-09
No Tilt Angle Dependence of Grain Boundary on Mechanical Strength of Chemically Deposited Graphene Film

Kim, Jong Hun; An, Sung Joo; Lee, Jong-Young; Ji, Eunji; Hone, James; Lee, Gwan-Hyoung

한국세라믹학회지, Vol.56 No.5, pp.506-512

DOI
2020-01
Atomic scale study of black phosphorus degradation
DOI
2020-04
Highly flexible graphene nanoplatelet-polydimethylsiloxane strain sensors with proximity-sensing capability
DOI
2020-08
Tunable Wettability of Graphene through Nondestructive Hydrogenation and Wettability-Based Patterning for Bioapplications
DOI
2021-01
Hydrogenated Graphene Improves Neuronal Network Maturation and Excitatory Transmission
DOI
2021-07
Evolution of defect formation during atomically precise desulfurization of monolayer MoS2
DOI
2021-10
Substrate effect on doping and degradation of graphene
DOI
2022-06
STEM Image Analysis Based on Deep Learning: Identification of Vacancy Defects and Polymorphs of MoS2
DOI
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